{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bikeshare 数据集上的数据探索\n",
    "\n",
    "问题描述\n",
    "一、数据说明： Capital Bikeshare （美国Washington, D.C.的一个共享单车公司）提供的共享单车数据。数据包含每天的日期、天气等信息，需要预测每天的共享单车骑行量。\n",
    "解题提示\n",
    "原始数据集地址：http://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset \n",
    "1) 文件说明 \n",
    "day.csv: 按天计的单车共享次数（作业只需使用该文件） \n",
    "hour.csv: 按小时计的单车共享次数（无需理会） \n",
    "readme：数据说明文件 \n",
    "\n",
    "2) 字段说明 \n",
    "Instant记录号 \n",
    "Dteday：日期 \n",
    "Season：季节（1=春天、2=夏天、3=秋天、4=冬天） \n",
    "yr：年份，(0: 2011, 1:2012) \n",
    "mnth：月份( 1 to 12) \n",
    "hr：小时 (0 to 23) （只在hour.csv有，作业忽略此字段） \n",
    "holiday：是否是节假日（0/1） \n",
    "weekday：星期中的哪天，取值为0～6 \n",
    "workingday：是否工作日（0/1） \n",
    "1=工作日 （是否为工作日，1为工作日，0为非周末或节假日） \n",
    "weathersit：天气（1：晴天，多云 ",
    "2：雾天，阴天 ",
    "3：小雪，小雨 ",
    "4：大雨，大雪，大雾） \n",
    "temp：气温摄氏度 \n",
    "atemp：体感温度 \n",
    "hum：湿度 \n",
    "windspeed：风速 \n",
    "casual：非注册用户贡献的骑行量（作业无需理会该字段） \n",
    "registered：注册用户贡献的骑行量（作业无需理会该字段） \n",
    "cnt：给定日期（天, day.csv）时间（每小时,hour.csv）总租车人数，响应变量y \n",
    "\n",
    "casual、registered和cnt三个特征均为要预测的y（cnt =casual+registered ），作业里只需对cnt进行预测。 \n",
    "\n",
    "批改标准\n",
    "1. 对数据做数据探索分析（可参考EDA_BikeSharing.ipynb，不计分） \n",
    "2. 适当的特征工程（可参考FE_BikeSharing.ipynb，不计分） \n",
    "3. 对全体数据，随机选择其中80%做训练数据，剩下20%为测试数据，评价指标为RMSE。（10分） \n",
    "4. 用训练数据训练最小二乘线性回归模型（20分）、岭回归模型、Lasso模型，其中岭回归模型（30分）和Lasso模型（30分），注意岭回归模型和Lasso模型的正则超参数调优。 \n",
    "5. 比较用上述三种模型得到的各特征的系数，以及各模型在测试集上的性能。并简单说明原因。（10分） "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv(\"G:/VS_AI/homework/LinearRegression/day.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 16 columns):\n",
      "instant       731 non-null int64\n",
      "dteday        731 non-null object\n",
      "season        731 non-null int64\n",
      "yr            731 non-null int64\n",
      "mnth          731 non-null int64\n",
      "holiday       731 non-null int64\n",
      "weekday       731 non-null int64\n",
      "workingday    731 non-null int64\n",
      "weathersit    731 non-null int64\n",
      "temp          731 non-null float64\n",
      "atemp         731 non-null float64\n",
      "hum           731 non-null float64\n",
      "windspeed     731 non-null float64\n",
      "casual        731 non-null int64\n",
      "registered    731 non-null int64\n",
      "cnt           731 non-null int64\n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(731, 16)\n"
     ]
    }
   ],
   "source": [
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['instant', 'dteday', 'season', 'yr', 'mnth', 'holiday', 'weekday',\n",
      "       'workingday', 'weathersit', 'temp', 'atemp', 'hum', 'windspeed',\n",
      "       'casual', 'registered', 'cnt'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>2.496580</td>\n",
       "      <td>0.500684</td>\n",
       "      <td>6.519836</td>\n",
       "      <td>0.028728</td>\n",
       "      <td>2.997264</td>\n",
       "      <td>0.683995</td>\n",
       "      <td>1.395349</td>\n",
       "      <td>0.495385</td>\n",
       "      <td>0.474354</td>\n",
       "      <td>0.627894</td>\n",
       "      <td>0.190486</td>\n",
       "      <td>848.176471</td>\n",
       "      <td>3656.172367</td>\n",
       "      <td>4504.348837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>211.165812</td>\n",
       "      <td>1.110807</td>\n",
       "      <td>0.500342</td>\n",
       "      <td>3.451913</td>\n",
       "      <td>0.167155</td>\n",
       "      <td>2.004787</td>\n",
       "      <td>0.465233</td>\n",
       "      <td>0.544894</td>\n",
       "      <td>0.183051</td>\n",
       "      <td>0.162961</td>\n",
       "      <td>0.142429</td>\n",
       "      <td>0.077498</td>\n",
       "      <td>686.622488</td>\n",
       "      <td>1560.256377</td>\n",
       "      <td>1937.211452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.059130</td>\n",
       "      <td>0.079070</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022392</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>183.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.337083</td>\n",
       "      <td>0.337842</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.134950</td>\n",
       "      <td>315.500000</td>\n",
       "      <td>2497.000000</td>\n",
       "      <td>3152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.498333</td>\n",
       "      <td>0.486733</td>\n",
       "      <td>0.626667</td>\n",
       "      <td>0.180975</td>\n",
       "      <td>713.000000</td>\n",
       "      <td>3662.000000</td>\n",
       "      <td>4548.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>548.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.655417</td>\n",
       "      <td>0.608602</td>\n",
       "      <td>0.730209</td>\n",
       "      <td>0.233214</td>\n",
       "      <td>1096.000000</td>\n",
       "      <td>4776.500000</td>\n",
       "      <td>5956.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.861667</td>\n",
       "      <td>0.840896</td>\n",
       "      <td>0.972500</td>\n",
       "      <td>0.507463</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          instant      season          yr        mnth     holiday     weekday  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean   366.000000    2.496580    0.500684    6.519836    0.028728    2.997264   \n",
       "std    211.165812    1.110807    0.500342    3.451913    0.167155    2.004787   \n",
       "min      1.000000    1.000000    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    183.500000    2.000000    0.000000    4.000000    0.000000    1.000000   \n",
       "50%    366.000000    3.000000    1.000000    7.000000    0.000000    3.000000   \n",
       "75%    548.500000    3.000000    1.000000   10.000000    0.000000    5.000000   \n",
       "max    731.000000    4.000000    1.000000   12.000000    1.000000    6.000000   \n",
       "\n",
       "       workingday  weathersit        temp       atemp         hum   windspeed  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean     0.683995    1.395349    0.495385    0.474354    0.627894    0.190486   \n",
       "std      0.465233    0.544894    0.183051    0.162961    0.142429    0.077498   \n",
       "min      0.000000    1.000000    0.059130    0.079070    0.000000    0.022392   \n",
       "25%      0.000000    1.000000    0.337083    0.337842    0.520000    0.134950   \n",
       "50%      1.000000    1.000000    0.498333    0.486733    0.626667    0.180975   \n",
       "75%      1.000000    2.000000    0.655417    0.608602    0.730209    0.233214   \n",
       "max      1.000000    3.000000    0.861667    0.840896    0.972500    0.507463   \n",
       "\n",
       "            casual   registered          cnt  \n",
       "count   731.000000   731.000000   731.000000  \n",
       "mean    848.176471  3656.172367  4504.348837  \n",
       "std     686.622488  1560.256377  1937.211452  \n",
       "min       2.000000    20.000000    22.000000  \n",
       "25%     315.500000  2497.000000  3152.000000  \n",
       "50%     713.000000  3662.000000  4548.000000  \n",
       "75%    1096.000000  4776.500000  5956.000000  \n",
       "max    3410.000000  6946.000000  8714.000000  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Program Files (x86)\\Microsoft Visual Studio\\Shared\\Anaconda3_64\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "sns.distplot(df[\"cnt\"],bins=30,kde=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x267967eafd0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAEyRJREFUeJzt3W+MXNV5x/HvUxzA4ASbUKbUtrqmsVApWzWwQiS00Rq3CX9SzAuimqLGJlSrNjRJE0fBhBe0L6JCG/JPaolcTOJUKYY4qCAgpRZhGlWqndokwYBD7IALNg4QAU6WoJBNn76Y63Rixt71nRmP9+z3I61m7plz7z3z7N3f3j1zZzYyE0lSuX5l0AOQJPWXQS9JhTPoJalwBr0kFc6gl6TCGfSSVDiDXpIKZ9BLUuEMekkq3KxBDwDglFNOyaGhoVrrvvLKK5x44om9HVABrEtn1qUz69LZ0V6XrVu3/jAzf3WyfkdF0A8NDbFly5Za6zabTUZHR3s7oAJYl86sS2fWpbOjvS4R8T9T6efUjSQVbtKgj4jbIuL5iHi0w2MfjYiMiFOq5YiIz0XEzoh4JCLO7segJUlTN5Uz+i8CFx7YGBELgT8Enm5rvghYXH2NAbd0P0RJUjcmDfrM/AbwYoeHPg18DGj/nONlwJeyZRMwNyJO68lIJUm11HoxNiIuBfZk5nciov2h+cAzbcu7q7a9HbYxRuusn0ajQbPZrDMUxsfHa69bMuvSmXXpzLp0VkpdDjvoI+IE4HrgnZ0e7tDW8T+bZOYaYA3AyMhI1n1l+2h/VXxQrEtn1qUz69JZKXWpc0b/m8AiYP/Z/ALg4Yg4l9YZ/MK2vguAZ7sdpCSpvsO+vDIzt2XmqZk5lJlDtML97Mz8AXAP8N7q6pvzgH2Z+bppG0nSkTOVyytvB/4LOCMidkfE1Yfofj/wJLAT+Cfg/T0ZpSSptkmnbjLzikkeH2q7n8A13Q9LOnoMrb5vIPvddeMlA9mvyuM7YyWpcAa9JBXOoJekwhn0klQ4g16SCmfQS1LhDHpJKpxBL0mFM+glqXAGvSQVzqCXpMIZ9JJUOINekgpn0EtS4Qx6SSqcQS9JhTPoJalwBr0kFc6gl6TCGfSSVDiDXpIKN2uyDhFxG/Bu4PnMPKtq+3vgj4DXgO8DV2Xmy9Vj1wFXAz8HPpiZD/Rp7JpBhlbf15PtrBqeYGWPtiVNF1M5o/8icOEBbRuBszLzd4DvAdcBRMSZwHLgt6t1/jEijunZaCVJh23SoM/MbwAvHtD275k5US1uAhZU95cB6zPzp5n5FLATOLeH45UkHaZJp26m4H3AHdX9+bSCf7/dVdvrRMQYMAbQaDRoNpu1dj4+Pl573ZKVVpdVwxOTd5qCxuzebavfjuT3r7TjpVdKqUtXQR8R1wMTwJf3N3Xolp3Wzcw1wBqAkZGRHB0drTWGZrNJ3XVLVlpdejWvvmp4gpu39eL8pv92XTl6xPZV2vHSK6XUpfYRHxEraL1IuzQz94f5bmBhW7cFwLP1hydJ6latyysj4kLgWuDSzPxJ20P3AMsj4riIWAQsBr7Z/TAlSXVN5fLK24FR4JSI2A3cQOsqm+OAjREBsCkz/zwzH4uIO4HHaU3pXJOZP+/X4CVJk5s06DPzig7Naw/R/xPAJ7oZlCSpd3xnrCQVzqCXpMIZ9JJUOINekgpn0EtS4Qx6SSqcQS9JhTPoJalwBr0kFc6gl6TCGfSSVDiDXpIKZ9BLUuEMekkqnEEvSYUz6CWpcAa9JBXOoJekwhn0klQ4g16SCmfQS1LhJg36iLgtIp6PiEfb2k6OiI0RsaO6nVe1R0R8LiJ2RsQjEXF2PwcvSZrcVM7ovwhceEDbauDBzFwMPFgtA1wELK6+xoBbejNMSVJdkwZ9Zn4DePGA5mXAuur+OuCytvYvZcsmYG5EnNarwUqSDl/dOfpGZu4FqG5PrdrnA8+09dtdtUmSBmRWj7cXHdqyY8eIMVrTOzQaDZrNZq0djo+P1163ZKXVZdXwRE+205jdu23125H8/pV2vPRKKXWpG/TPRcRpmbm3mpp5vmrfDSxs67cAeLbTBjJzDbAGYGRkJEdHR2sNpNlsUnfdkpVWl5Wr7+vJdlYNT3Dztl6f3/THritHj9i+SjteeqWUutSdurkHWFHdXwHc3db+3urqm/OAffuneCRJgzHpqU1E3A6MAqdExG7gBuBG4M6IuBp4GnhP1f1+4GJgJ/AT4Ko+jFmSdBgmDfrMvOIgDy3t0DeBa7odlCSpd3xnrCQVzqCXpMIZ9JJUOINekgpn0EtS4Qx6SSqcQS9JhTPoJalwBr0kFc6gl6TCGfSSVDiDXpIKZ9BLUuEMekkqnEEvSYUz6CWpcAa9JBXOoJekwhn0klQ4g16SCmfQS1Lhugr6iPhwRDwWEY9GxO0RcXxELIqIzRGxIyLuiIhjezVYSdLhqx30ETEf+CAwkplnAccAy4GbgE9n5mLgJeDqXgxUklTPrB6sPzsifgacAOwFLgD+pHp8HfDXwC1d7keacYZW33fE9rVqeIKV1f523XjJEduvjozaZ/SZuQf4JPA0rYDfB2wFXs7MiarbbmB+t4OUJNUXmVlvxYh5wFeBPwZeBr5SLd+QmW+p+iwE7s/M4Q7rjwFjAI1G45z169fXGsf4+Dhz5syptW7JSqvLtj37erKdxmx47tWebKoo7XUZnn/SYAdzFDnaf46WLFmyNTNHJuvXzdTNHwBPZeYLABFxF/B2YG5EzKrO6hcAz3ZaOTPXAGsARkZGcnR0tNYgms0mddctWWl1WdmjaYxVwxPcvK3bGcvytNdl15WjAxvHkZyuanew6apSfo66uermaeC8iDghIgJYCjwOPARcXvVZAdzd3RAlSd3oZo5+M7ABeBjYVm1rDXAt8JGI2Am8GVjbg3FKkmrq6m/YzLwBuOGA5ieBc7vZriSpd3xnrCQVzlelJP2SQb0gqv7xjF6SCmfQS1LhDHpJKpxz9Doszt9K049n9JJUOINekgrn1M00NJXpk/aPnZU0s3lGL0mFM+glqXAGvSQVzqCXpMIZ9JJUOINekgpn0EtS4Qx6SSqcQS9JhTPoJalwBr0kFc6gl6TCdRX0ETE3IjZExHcjYntEvC0iTo6IjRGxo7qd16vBSpIOX7efXvlZ4N8y8/KIOBY4Afg48GBm3hgRq4HVwLVd7ueo5D/hkDQd1D6jj4g3Ae8A1gJk5muZ+TKwDFhXdVsHXNbtICVJ9XUzdXM68ALwhYj4VkTcGhEnAo3M3AtQ3Z7ag3FKkmqKzKy3YsQIsAk4PzM3R8RngR8BH8jMuW39XsrM183TR8QYMAbQaDTOWb9+fa1xjI+PM2fOnFrrdmvbnn0D2e9UNGbDc68OehRHH+vS2Uyvy/D8kzq2DzJfpmLJkiVbM3Nksn7dBP2vAZsyc6ha/n1a8/FvAUYzc29EnAY0M/OMQ21rZGQkt2zZUmsczWaT0dHRWut262ieo181PMHN2/wHYgeyLp3N9LrsuvGSju2DzJepiIgpBX3tqZvM/AHwTETsD/GlwOPAPcCKqm0FcHfdfUiSutftr/APAF+urrh5EriK1i+POyPiauBp4D1d7kOS1IWugj4zvw10+rNhaTfblST1ju+MlaTCGfSSVDiDXpIKZ9BLUuEMekkqnEEvSYUz6CWpcAa9JBXOoJekwhn0klQ4g16SCmfQS1LhDHpJKpxBL0mFM+glqXAGvSQVzqCXpMIZ9JJUOINekgpn0EtS4Qx6SSqcQS9Jhes66CPimIj4VkTcWy0viojNEbEjIu6IiGO7H6Ykqa5enNF/CNjetnwT8OnMXAy8BFzdg31IkmrqKugjYgFwCXBrtRzABcCGqss64LJu9iFJ6k5kZv2VIzYAfwu8EfgosBLYlJlvqR5fCHwtM8/qsO4YMAbQaDTOWb9+fa0xjI+PM2fOnFrrdmvbnn0D2e9UNGbDc68OehRHH+vS2Uyvy/D8kzq2DzJfpmLJkiVbM3Nksn6z6u4gIt4NPJ+ZWyNidH9zh64df5Nk5hpgDcDIyEiOjo526japZrNJ3XW7tXL1fQPZ71SsGp7g5m21v73Fsi6dzfS67LpytGP7IPOll7r5zp4PXBoRFwPHA28CPgPMjYhZmTkBLACe7X6YkqS6as/RZ+Z1mbkgM4eA5cDXM/NK4CHg8qrbCuDurkcpSaqtH9fRXwt8JCJ2Am8G1vZhH5KkKerJpFxmNoFmdf9J4NxebFeS1D3fGStJhTPoJalwBr0kFc6gl6TCGfSSVDiDXpIKZ9BLUuEMekkqnEEvSYUz6CWpcAa9JBXOoJekwhn0klQ4g16SCmfQS1LhDHpJKpxBL0mFM+glqXAGvSQVzqCXpMIZ9JJUuNpBHxELI+KhiNgeEY9FxIeq9pMjYmNE7Khu5/VuuJKkw9XNGf0EsCozfws4D7gmIs4EVgMPZuZi4MFqWZI0ILWDPjP3ZubD1f0fA9uB+cAyYF3VbR1wWbeDlCTV15M5+ogYAt4KbAYambkXWr8MgFN7sQ9JUj2Rmd1tIGIO8B/AJzLzroh4OTPntj3+Uma+bp4+IsaAMYBGo3HO+vXra+1/fHycOXPm1Bt8l7bt2TeQ/U5FYzY89+qgR3H0sS6dzfS6DM8/qWP7IPNlKpYsWbI1M0cm69dV0EfEG4B7gQcy81NV2xPAaGbujYjTgGZmnnGo7YyMjOSWLVtqjaHZbDI6Olpr3W4Nrb5vIPudilXDE9y8bdagh3HUsS6dzfS67Lrxko7tg8yXqYiIKQV9N1fdBLAW2L4/5Cv3ACuq+yuAu+vuQ5LUvW5+hZ8P/CmwLSK+XbV9HLgRuDMirgaeBt7T3RAlSd2oHfSZ+Z9AHOThpXW3K0lH2sGmYVcNT7Cyz1O0B5s26iXfGStJhTPoJalwBr0kFc6gl6TCGfSSVLhp/w6JbXv29f1VcUmazjyjl6TCGfSSVDiDXpIKZ9BLUuEMekkqnEEvSYUz6CWpcAa9JBXOoJekwhn0klQ4g16SCmfQS1LhDHpJKpxBL0mFM+glqXB9C/qIuDAinoiInRGxul/7kSQdWl+CPiKOAf4BuAg4E7giIs7sx74kSYfWrzP6c4GdmflkZr4GrAeW9WlfkqRD6FfQzweeaVveXbVJko6wfv3P2OjQlr/UIWIMGKsWxyPiiZr7OgX4Yc11i/VB69KRdenMunR2JOoSN3W1+m9MpVO/gn43sLBteQHwbHuHzFwDrOl2RxGxJTNHut1OaaxLZ9alM+vSWSl16dfUzX8DiyNiUUQcCywH7unTviRJh9CXM/rMnIiIvwQeAI4BbsvMx/qxL0nSofVr6obMvB+4v1/bb9P19E+hrEtn1qUz69JZEXWJzJy8lyRp2vIjECSpcNM26GfaRyxExMKIeCgitkfEYxHxoar95IjYGBE7qtt5VXtExOeq+jwSEWe3bWtF1X9HRKwY1HPqpYg4JiK+FRH3VsuLImJz9RzvqC4KICKOq5Z3Vo8PtW3juqr9iYh412CeSe9ExNyI2BAR362Om7d5vEBEfLj6GXo0Im6PiOOLP14yc9p90XqB9/vA6cCxwHeAMwc9rj4/59OAs6v7bwS+R+vjJf4OWF21rwZuqu5fDHyN1nsazgM2V+0nA09Wt/Oq+/MG/fx6UJ+PAP8C3Fst3wksr+5/HviL6v77gc9X95cDd1T3z6yOo+OARdXxdcygn1eXNVkH/Fl1/1hg7kw/Xmi9cfMpYHbbcbKy9ONlup7Rz7iPWMjMvZn5cHX/x8B2WgftMlo/0FS3l1X3lwFfypZNwNyIOA14F7AxM1/MzJeAjcCFR/Cp9FxELAAuAW6tlgO4ANhQdTmwLvvrtQFYWvVfBqzPzJ9m5lPATlrH2bQUEW8C3gGsBcjM1zLzZTxeoHURyuyImAWcAOyl8ONlugb9jP6IherPx7cCm4FGZu6F1i8D4NSq28FqVGLtPgN8DPjfavnNwMuZOVEttz/HXzz/6vF9Vf/S6nI68ALwhWpK69aIOJEZfrxk5h7gk8DTtAJ+H7CVwo+X6Rr0k37EQqkiYg7wVeCvMvNHh+raoS0P0T4tRcS7geczc2t7c4euOcljRdWF1lnr2cAtmflW4BVaUzUHMyPqUr0msYzWdMuvAyfS+pTdAxV1vEzXoJ/0IxZKFBFvoBXyX87Mu6rm56o/salun6/aD1aj0mp3PnBpROyiNYV3Aa0z/LnVn+bwy8/xF8+/evwk4EXKq8tuYHdmbq6WN9AK/pl+vPwB8FRmvpCZPwPuAt5O4cfLdA36GfcRC9W84Fpge2Z+qu2he4D9V0KsAO5ua39vdTXFecC+6k/1B4B3RsS86uzmnVXbtJSZ12XmgswconUcfD0zrwQeAi6vuh1Yl/31urzqn1X78uoqi0XAYuCbR+hp9Fxm/gB4JiLOqJqWAo8zw48XWlM250XECdXP1P66lH28DPrV4LpftK4S+B6tV7uvH/R4jsDz/T1afxo+Any7+rqY1nzhg8CO6vbkqn/Q+ucv3we2ASNt23ofrRePdgJXDfq59bBGo/z/VTen0/rB2wl8BTiuaj++Wt5ZPX562/rXV/V6Arho0M+nB/X4XWBLdcz8K62rZmb88QL8DfBd4FHgn2ldOVP08eI7YyWpcNN16kaSNEUGvSQVzqCXpMIZ9JJUOINekgpn0EtS4Qx6SSqcQS9Jhfs/YsPo+xbxNngAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"cnt\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x267966da6a0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#_,axes=plt.subplots(1,2,sharey=True,figsize=(6,4))\n",
    "_,axes=plt.subplots(1,2,sharey=True,figsize=(6,4))\n",
    "sns.boxplot(df[\"cnt\"],ax= axes[0])\n",
    "sns.violinplot(df[\"cnt\"],ax=axes[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x26795f68dd8>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols=df.columns\n",
    "data_corr=df.corr()\n",
    "sns.heatmap(data_corr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr=data_corr.abs()\n",
    "plt.subplots(figsize=(13,9))\n",
    "sns.heatmap(data_corr,annot=True)\n",
    "\n",
    "# Mask unimportant features,突出重要信息\n",
    "sns.heatmap(data_corr,mask=data_corr<0.5,cbar=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "weathersit and temp = 0.99\n",
      "casual and registered = 0.95\n",
      "instant and season = 0.87\n",
      "dteday and yr = 0.83\n",
      "windspeed and registered = 0.67\n",
      "instant and casual = 0.66\n",
      "temp and registered = 0.63\n",
      "instant and registered = 0.63\n",
      "weathersit and registered = 0.63\n",
      "season and casual = 0.59\n",
      "workingday and atemp = 0.59\n",
      "season and registered = 0.57\n",
      "temp and casual = 0.54\n",
      "temp and windspeed = 0.54\n",
      "weathersit and windspeed = 0.54\n",
      "weathersit and casual = 0.54\n",
      "weekday and windspeed = 0.52\n"
     ]
    }
   ],
   "source": [
    "threshold=0.5\n",
    "# List of pairs along with correlation above threshold 翻译：配对列表以及高于阈值的相关性\n",
    "corr_list=[]\n",
    "size=data_corr.shape[0]\n",
    "\n",
    "#Search for the highly correlated pairs\n",
    "for i in range(0,size): # for 'size' features\n",
    "    for j in range(i+1,size): # avoid repetition\n",
    "        if(data_corr.iloc[i,j]>=threshold and data_corr.iloc[i,j]<1) or (data_corr.iloc[i,j]<0 and data_corr.iloc[i,j]<-threshold):\n",
    "            corr_list.append([data_corr.iloc[i,j],i,j])\n",
    "            \n",
    "#Sort to show higher ones first\n",
    "corr_list=sorted(corr_list,key=lambda x: -abs(x[0]))\n",
    "\n",
    "#Print correlations and column names\n",
    "for v,i,j in corr_list:\n",
    "    print(\"%s and %s = %.2f\"%(cols[i],cols[j],v)) # %.2f  保留两位小数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用 SVG 格式可能导致pairplot变得非常慢\n",
    "#%config InlieneBackend.figure_format=\"png\"\n",
    "#for v,i,j in corr_list:\n",
    "#    sns.pairplot(df,x_vars=cols[i],y_vars=cols[j])\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2679deb6d68>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_,axes=plt.subplots(1,2,sharey=True,figsize=(10,4))\n",
    "sns.boxplot(x=\"instant\",y=\"casual\",data=df,ax=axes[0])\n",
    "sns.violinplot(x=\"instant\",y=\"casual\",data=df,ax=axes[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
